Register Now for Data-Centric Transformation Webinar.

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Description: As enterprises begin to invest heavily in extracting analytical and operational value from data, the cost of building integrations, maintaining middleware, and managing data silos is skyrocketing. This webinar will break down the pitfalls of the “Application-centric mindset” and the opportunities that lie within re-building enterprise technology with data-centricity.

Data-centricity offers new opportunities to scale digital transformation and build disruptive business models. By arming data features traditionally pushed to middleware, apps, or even users, we can realize its maximum value without breaking the bank, introducing security vulnerabilities, or maintaining unnecessary middleware.

Dave Mccomb, author of Software Wasteland, joins Brian Platz, co-founder of Fluree to introduce data-centricity.

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Why now?

The application boom of the 90’s led to increased front-office efficiencies but left behind a wasteland of data-as-a-byproduct. Potential attack surfaces are introduced at every level of data re-use. Complexity constrains the data pipeline with poor latency and poor context. Data integration eats up the majority of the standard enterprise technology budget.

In other words, data is not armed at its core with the characteristics it needs to satisfy its many stakeholders — so we build specialized tools and processes around it to maximize its analytical value, prove compliance, share it with third parties, and operationalize it into new applications. This approach may have worked for ten or so years – but the data revolution is not slowing down and these technologies cannot scale.

Data-centricity allows us to extract and deliver data’s value to various stakeholders, allows data to be shared with neighboring business units or third parties, links across information assets for growing enterprise knowledge, delivers data in real-time to end-user platforms, and integrates emerging privacy, compliance, and industry standards into our information systems.
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